nvidia-installer | Setup nvidia drivers in Antergos | GPU library

by Antergos Python Version: Current License: GPL-2.0

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | nvidia-installer Summary

nvidia-installer is a Python library typically used in Hardware, GPU applications. nvidia-installer has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However nvidia-installer build file is not available. You can download it from GitHub.

Setup nvidia drivers in Antergos.

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Quality

Security

License

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Support

nvidia-installer has a low active ecosystem.

It has 8 star(s) with 6 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 16 have been closed. On average issues are closed in 31 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nvidia-installer is current.

Quality

nvidia-installer has 0 bugs and 0 code smells.

Security

nvidia-installer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nvidia-installer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nvidia-installer is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

nvidia-installer releases are not available. You will need to build from source code and install.

nvidia-installer has no build file. You will be need to create the build yourself to build the component from source.

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nvidia-installer Key Features

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nvidia-installer Examples and Code Snippets

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Community Discussions

Trending Discussions on nvidia-installer

GPU's not showing up on GKE Node even though they show up in GKE NodePool

getting Init:ErrImagePull while installing nvidia plugin in GKE

Ansible-playbook trying to run a command inside a command to grab the variable. OR a better way to do it

Problems with installing nvidia grid driver

How to set values in helm_release

QUESTION

GPU's not showing up on GKE Node even though they show up in GKE NodePool

Asked 2022-Mar-03 at 08:30

I'm trying to setup a Google Kubernetes Engine cluster with GPU's in the nodes loosely following these instructions, because I'm programmatically deploying using the Python client.

For some reason I can create a cluster with a NodePool that contains GPU's

...But, the nodes in the NodePool don't have access to those GPUs.

I've already installed the NVIDIA DaemonSet with this yaml file: https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded.yaml

You can see that it's there in this image:

For some reason those 2 lines always seem to be in status "ContainerCreating" and "PodInitializing". They never flip green to status = "Running". How can I get the GPU's in the NodePool to become available in the node(s)?

Update:

Based on comments I ran the following commands on the 2 NVIDIA pods; kubectl describe pod POD_NAME --namespace kube-system.

To do this I opened the UI KUBECTL command terminal on the node. Then I ran the following commands:

gcloud container clusters get-credentials CLUSTER-NAME --zone ZONE --project PROJECT-NAME

Then, I called kubectl describe pod nvidia-gpu-device-plugin-UID --namespace kube-system and got this output:

...

ANSWER

Answered 2022-Mar-03 at 08:30

According the docker image that the container is trying to pull (gke-nvidia-installer:fixed), it looks like you're trying use Ubuntu daemonset instead of cos.

You should run kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded.yaml

This will apply the right daemonset for your cos node pool, as stated here.

In addition, please verify your node pool has the https://www.googleapis.com/auth/devstorage.read_only scope which is needed to pull the image. You can should see it in your node pool page in GCP Console, under Security -> Access scopes (The relevant service is Storage).

Source https://stackoverflow.com/questions/71272241

QUESTION

getting Init:ErrImagePull while installing nvidia plugin in GKE

Asked 2021-Dec-11 at 06:34

I am unable to install Nvidia GPU plugin in GKE. I followed this link https://cloud.google.com/kubernetes-engine/docs/how-to/gpus#installing_drivers to install. While describing the pod I'm getting

...

ANSWER

Answered 2021-Dec-11 at 06:34

The ErrImagePull condition means that the node is unable to pull the container image from the container image registry. Some potential causes of this issue:

The container is unavailable or inaccessible from the node
The container image does not exists in the registry
The container image specified in the deployment manifest is incorrect

The problem with creating a centralized cos-gpu-installer:fixed, is that we won't be able to tie the driver version down to the OS version. They go through relevant qualification and testing before they are preloaded. So on a specific GKE version, you always get the same driver version. This makes it challenging to have a single tag that the node could pull from a registry.

The pre-loaded installer image "cos-nvidia-installer:fixed" had some changes to only use the default driver version for a certain cos version.

One workaround is to set the driver version with another container image in the configuration file i.e specify the full image version in the daemonset (e.g. gcr.io/cos-cloud/cos-gpu-installer@sha256:8d86a652759f80595cafed7d3dcde3dc53f57f9bc1e33b27bc3cfa7afea8d483), you can also set container image of latest version and try. Since this version refers to the same image that's preloaded, the image pull should be very fast.

Try changing these fields in the configuration file:

Source https://stackoverflow.com/questions/70301781

QUESTION

Ansible-playbook trying to run a command inside a command to grab the variable. OR a better way to do it

Asked 2020-Sep-22 at 15:54

It seems as though uname -r is not being executed the way I think it should. I've tried several variations.

...

ANSWER

Answered 2020-Sep-22 at 15:29

The problem here is that uname -r is not returning the kernel version that you are expecting.

You should use the ansible_kernel Ansible fact in your command.

Source https://stackoverflow.com/questions/64012531

QUESTION

Problems with installing nvidia grid driver

Asked 2020-Jul-27 at 22:34

I want to use gpu acceleration for my android emulator in a compute engine instance. I added tesla t4 gpu and now trying to install the gpu grid driver according to here. I use ubuntu 20. please advise https://cloud.google.com/compute/docs/gpus/install-grid-drivers

I get an error:

...

ANSWER

Answered 2020-Jul-27 at 22:34

The document you are using to install NVIDIA GRID® drivers for virtual workstations, only contains examples of the commands needed to install the GRID drivers.

The example contained in that guide, is for installing the NVIDIA 410.92 driver, this driver is for GRID7.1, but I recommend to use the latest version of GRID, you can consult the following table to see the drivers available.

I’ve reproduced this scenario on my own project and I was able to install GRID11.0, using the NVIDIA 450.51.05 driver. I’m using an instance with the following characteristics:

Machine type: n1-standard-1 (1 vCPU, 3.75 GB memory)
GPUs: 1 x NVIDIA Tesla T4
OS ubuntu-minimal-2004-focal-v20200702

Keep in mind that you need to have the option Enable Virtual Workstation (NVIDIA GRID) enabled at the creation moment to avoid issues.

I used the following commands for this installation:

Source https://stackoverflow.com/questions/63118028

QUESTION

How to set values in helm_release

Asked 2020-May-25 at 23:18

Good day!

I am trying to set values of the NVIDIA helm chart using helm terraform provider but I am not able to define the name of the variable correctly, some of the .tf file looks like the below:

...

ANSWER

Answered 2020-May-25 at 14:48

That error could be a handful of things, a character that is non-ascii, null, or a bad indentation.

Verify that you have no extra characters at the end of any given values.
Do a helm template and verify that all fields have non null values rendered on the output.
When you do a helm template verify that your blocks are aligned, I had an error liked the one you posted where my blocks weren't aligned and/or was using spaces/tabs and it tirggered that error

Source https://stackoverflow.com/questions/61992753

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install nvidia-installer

You can download it from GitHub.
You can use nvidia-installer like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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